Kernel Methods for Pattern Analysis

Shawe-Taylor, John; Cristianini, Nello

ISBN 10: 0521813972 / ISBN 13: 9780521813976

Published by Cambridge University Press, 2004

About this Item

A copy that has been read, remains in good condition. All pages are intact, and the cover is intact. The spine and cover show signs of wear. Pages can include notes and highlighting and show signs of wear, and the copy can include "From the library of" labels or previous owner inscriptions. 100% GUARANTEE! Shipped with delivery confirmation, if you're not satisfied with purchase please return item for full refund. Ships via media mail.

Seller Inventory # OTV.0521813972.G

Bibliographic Details

• Title: Kernel Methods for Pattern Analysis
• Publisher: Cambridge University Press
• Publication Date: 2004
• Language: English
• ISBN 10: 0521813972
• ISBN 13: 9780521813976
• Binding: Hardcover
• Condition: good

About this title

Synopsis

This book provides professionals with a large selection of algorithms, kernels and solutions ready for implementation and suitable for standard pattern discovery problems in fields such as bioinformatics, text analysis and image analysis. It also serves as an introduction for students and researchers to the growing field of kernel-based pattern analysis, demonstrating with examples how to handcraft an algorithm or a kernel for a new specific application, and covering all the necessary conceptual and mathematical tools to do so.

Book Description

This book fulfils two major roles: firstly it provides practitioners with a large toolkit of algorithms, kernels and solutions ready to be implemented, suitable for standard pattern discovery problems in field such as bioinformatics, text analysis, image analysis. Secondly it provides an easy introduction for students and researchers to the growing field of kernel-based pattern analysis, demonstrating with examples how to handcraft an algorithm or a kernel for a new specific application, and covering all the necessary conceptual and mathematical tools to do so.